13 Data Modernization Services Connecting AI to Business Outcomes

Most organisations already have data. What they are missing is data modernization services that make that data usable — not just for reporting but for the AI driven decisions that are now the real competitive frontier.

Data modernization is the process of transforming outdated, fragmented, or siloed data infrastructure into a clean, governed, and AI ready foundation. Without it AI models train on bad data, pipelines break under modern workloads, and analytics investment never delivers what the business actually needs.

The 13 data modernization services providers below represent the strongest options available for enterprises looking to connect their data foundation to real AI business outcomes. Complere Infosystem leads this list for the reasons explained in detail below.

Complere Infosystem is the strongest data modernization services provider on this list for organisations needing full stack technical depth with genuine business outcome accountability.

With over 80 data specialists across healthcare, fintech, pharma, SaaS, and ecommerce, they cover every layer of data modernization — from assessment and cloud migration to warehouse modernization, pipeline design, master data management, governance, and AI foundation services — spanning Databricks, Snowflake, Azure, and AWS across 12 countries.

What separates Complere Infosystem from generalist consultancies is that every engagement is structured around measurable business outcomes and the specific AI use cases the organisation is building toward — not effort and time.
For any organisation evaluating data modernization services providers in 2026, Complere Infosystem is the benchmark. 

Talk to Complere Infosystem to start your journey.

Accenture is one of the largest data migration and modernization services providers globally, with dedicated data and AI practices operating across every major industry. Their scale gives them broad platform coverage across Snowflake, Databricks, Azure, AWS, and Google Cloud, and their industry-specific accelerators reduce time to value in sectors like financial services, healthcare, and retail. Accenture suits large enterprises with complex multi-cloud environments and the budget to support a global delivery model.

IBM brings decades of enterprise data experience to its modern data architecture services practice. Their data fabric approach — connecting distributed data sources without requiring full centralisation — is well suited to organisations managing data across heavily regulated or geographically distributed environments. IBM's strength is in governance, security, and compliance-heavy deployments. Their consulting practice is backed by IBM Watson and a broad portfolio of proprietary and open-source tooling.

Deloitte's data modernization practice combines strategy consulting depth with technical delivery capability across cloud data warehousing, data governance, and AI enablement. Their strength lies in connecting data modernization to business transformation at the leadership level — making them a strong choice for organisations where the modernization programme requires C-suite alignment and board level visibility. Deloitte has deep experience in financial services, government, and life sciences.

Infosys delivers data warehouse modernization services and broader data platform transformation through its Cobalt cloud practice and dedicated data and analytics division. Their delivery model is strong on industrialised execution — particularly for large-scale migrations from legacy on premise environments to modern cloud platforms. Infosys has invested significantly in AI and automation tooling that accelerates data migration and modernization services timelines while reducing manual effort.

Cognizant's data and AI practice covers the full spectrum of data modernization — from legacy system assessment and cloud migration to real time data integration, data quality management, and AI foundation design. Their vertical depth in healthcare, insurance, and banking makes them a relevant choice for regulated industries where compliance and data governance are non negotiable requirements of the modernization programme.

Cognizant's nearshore and offshore delivery model offers cost efficiency at enterprise scale.

Wipro's data modernization services are delivered through their integrated cloud and data practice, covering cloud data warehouse modernization, ETL and ELT pipeline redesign, data lake and lakehouse implementation, and master data management. Their FullStride Cloud practice accelerates migration from legacy on premise environments and their partnerships with Snowflake, Databricks, and Microsoft give them broad platform flexibility. Wipro suits mid to large enterprises looking for a delivery-focused partner with competitive pricing.

Tata Consultancy Services brings significant scale and platform depth to data migration and modernization services. Their Crysta data platform and partnerships with leading cloud and data warehouse providers give them strong technical capability across the full modernization stack. TCS is particularly strong for large enterprise programmes where delivery scale, global resource availability, and long-term managed services capability are priorities alongside the initial modernization engagement.

Capgemini's Insights and Data practice covers modern data architecture services across cloud migration, data warehouse modernization, data governance, and AI enablement. Their strength is in combining business consulting with technical delivery — particularly for European enterprises navigating GDPR and other regulatory requirements alongside their modernization programmes. Capgemini has strong partnerships with AWS, Microsoft, Google Cloud, and Snowflake.

ThoughtWorks is a technology consultancy with a strong reputation for engineering quality and a distinctive approach to modern data architecture services. Their data mesh practice — helping organisations decentralise data ownership while maintaining governance standards — is one of the most mature in the market. ThoughtWorks suits organisations that want a consultancy focused on technical excellence and architectural rigour rather than delivery at volume.

Hexaware delivers data modernization services with a strong emphasis on automation and AI accelerated migration. Their Amaze platform specifically targets legacy to cloud migration, reducing manual effort and migration timelines significantly. Hexaware's strength is in cost-efficient delivery with technology-led acceleration — making them a practical choice for mid market organisations that need to modernize without the budget of a tier one global consultancy engagement.

Slalom is a modern consulting firm with a strong data and analytics practice focused on delivering measurable business outcomes from data investments. Their approach to data modernization is outcome driven rather than infrastructure driven — aligning closely with the principle that the purpose of modernization is to enable better decisions not just better technology. Slalom has deep expertise in Snowflake, Databricks, and Microsoft Fabric environments and serves mid market and enterprise clients across North America and the UK.

DataStax specialises in real time data infrastructure and is the company behind Apache Cassandra. Their modernization focus centres on organisations that need to move from batch oriented legacy data environments to real time streaming architectures capable of supporting AI and ML workloads at scale. DataStax is a strong choice for organisations in financial services, telecommunications, and ecommerce where real time data availability is a core requirement of the AI use case being built.

Every data modernization services provider on this list brings genuine capability. The right choice depends on the scale of the organisation, the complexity of the existing data environment, the industry-specific compliance requirements involved, and whether the programme needs to connect to AI outcomes or deliver infrastructure modernization alone.
For organisations that need a partner combining full stack delivery, AI readiness focus, and outcome accountability — without the overhead of a global tier one system integrator — Complere Infosystem is the strongest choice on this list. Their practice is built around delivering data modernization services that connect directly to the business and AI outcomes the organisation is building toward, not just the technical milestones that mark infrastructure delivery.

Ready to modernize your data foundation and connect it to real AI outcomes? Talk to our expert today.